cvjena/deic
Benchmark for Data-Efficient Image Classification
This benchmark helps machine learning researchers and practitioners evaluate and compare different image classification models when dealing with limited training data. It provides standardized datasets and pre-defined splits for training, validation, and testing. Researchers can use this to rigorously assess how well their models learn from smaller image collections in domains like medical imaging, remote sensing, and handwriting recognition.
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Use this if you are a machine learning researcher or practitioner developing or evaluating image classification models and need a standardized way to test their performance with limited training examples across various domains.
Not ideal if you are looking for a ready-to-use image classification application or a general-purpose dataset for tasks other than benchmarking data-efficient methods.
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Apr 11, 2023
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